liane886 Goto Github PK

algorithmic-trading

LSTM stock prediction and backtesting

awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

awesome-gnn4ts

Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

awesome-graph-transformer

Papers about graph transformers.

awesome-hyperbolic-graph-representation-learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-llms-in-graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-research-tools

Awesome research tools!!!

dorabot

dyglib

A Library for Dynamic Graph Learning

dyhatr

DyHATR (ECML-PKDD 2020)

dysat

dysat-1

Representation learning on dynamic graphs using self-attention networks

financial-knowledge-graphs

小型金融知识图谱构建流程

g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

gnud

Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”

graph_neural_network_learning

图神经网络(图卷积网络) 个人学习总结

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

hpc

ibpy

Python API for the Interactive Brokers on-line trading system.

joint-kg-recommender

kg-summ-rec

Knowledge-based experiments with TaoMiner/joint-kg-recommender and sunzhuntu/Recurrent-Knowledge-Graph-Embedding projects.

kge

Some papers on Knowledge Graph Embedding(KGE)

knowledge-graph-tutorials-and-papers

Insightful Tutorials and Papers about Knowledge Graphs

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

liane886.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

linear-ae-pca

Principal component analysis using a linear autoencoder

mcrec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"